Powerful GPUs for deep learning

Vectordash lets you use insanely fast cloud GPUs at incredibly low costs.
You can start a powerful GPU instance within seconds.

The fastest cloud GPUs for deep learning.

Vectordash GPU instances are backed by dedicated quad-core CPUs and the latest
generation Nvidia GPUs. We believe in providing you with the most powerful
hardware at the most affordable rates.
Our GPU instances cost 5x less than AWS's instances, with
pricing starting at just $0.25 per hour.
This makes us the world's most affordable cloud GPU provider.

OpenAI Gym Agent

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Ms. Pac-Man

Total GPU training costs

AWS (p2.xlarge): $163.35

Vectordash (1080 ti): $21.12

OpenAI Gym Agent

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Atari Breakout

Total GPU training costs

AWS (p2.xlarge): $237.60

Vectordash (1080 ti): $30.72

Built for machine learning researchers.

Vectordash was designed from the ground up with machine learning researchers in mind.
Each GPU instance comes pre-loaded with Ubuntu 16.04, CUDA, cuDNN, TensorFlow,
PyTorch, and various other machine learning libraries pre-installed. Simply SSH
into your instance and begin training your model within seconds.

Talent is evenly distributed. Resources are not.

We believe AI has the potential to become the most impactful technology humanity will ever create, giving us
the ability to solve problems once thought to be unsolvable. However, available GPU
compute remains to be the limiting factor in developing AI systems. Novel ideas are often discarded
simply because the GPU compute costs would be too high.
Our goal is to provide everyone with high performance compute — not
just top research labs and large organizations. More affordable compute directly translates to an
increase in groundbreaking ideas being developed, improvements upon existing ideas, and the
true democratization of AI.

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About Vectordash

Our mission is to provide everyone with powerful hardware.
More accessible compute directly translates to an
increase in groundbreaking ideas being developed, improvements upon existing ideas, and the
true democratization of AI.